Sonder runs a people-risk platform pairing an on-demand support app with a workforce analytics portal, built on TypeScript, Kotlin, Swift and Firebase with a Snowflake + dbt + ThoughtSpot data layer. LangChain, LangGraph, vLLM and newly adopted Gemini point to production AI agents, while a support-dominated hiring mix shows the near-term priority is growing a physical responder network across Australia and New Zealand.
Notable leadership hires: Chief of Staff
Sonder is a privately held company founded in 2016 and headquartered in Waterloo, New South Wales, with 201–500 employees. It sells to employers, giving their workforces round-the-clock access to mental health, medical and safety assistance via phone or chat. A leader-facing portal aggregates usage and wellbeing trends so organisations can spot risk across their staff. The company hires in Australia, the United Kingdom and New Zealand, spanning support, operations, healthcare, data and product functions.
Sonder uses TypeScript, React, Node.js, Kotlin, Swift and Firebase for apps, Snowflake, dbt and ThoughtSpot for data, GCP and AWS for cloud, plus LangChain, LangGraph, vLLM and Gemini for AI.
Yes, and hiring is accelerating. Support roles dominate, alongside operations, healthcare, data and product, mostly at mid level, across Australia, the United Kingdom and New Zealand.
Sonder is headquartered in Waterloo, New South Wales, Australia, and was founded in 2016. It has 201–500 employees.
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Sonder's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
